Objective:To investigate the predictive value of the triglyceride-high-density lipoprotein cholesterol-glucose-body mass index (TyHGB) and triglyceride-glucose-body mass index (TyG-BMI) in early pregnancy for gestational diabetes mellitus (GDM) and pregnancy outcomes.Methods:A retrospective analysis was conducted, a total of 600 pregnant women who underwent prenatal examinations at North China Medical and Health Group Xingtai General Hospital from August 2020 to August 2023 were collected. Participants were divided into GDM group (76 cases) and non-GDM group (524 cases) based on GDM occurrence, and further categorized into adverse pregnancy group (101 cases) and favorable pregnancy group (499 cases) based on outcomes. Multivariate Logistic regression was used to identify risk factors for GDM and adverse pregnancy. The predictive performance of TyHGB and TyG-BMI was evaluated using receiver operating characteristic (ROC) curves.Results:After adjusting for confounders, TyHGB and TyG-BMI were independent risk factors for GDM ( OR = 1.569, 95% CI 1.259 -1.955; OR = 1.109, 95% CI 1.029 - 1.038) and adverse pregnancy ( OR = 1.438, 95% CI 1.193 - 1.734; OR = 1.021, 95% CI 1.014 - 1.029). The area under the curve (AUC) for TyHGB and TyG-BMI alone in predicting GDM was 0.677 and 0.731, respectively. Combined prediction of GDM yielded an AUC of 0.793, with sensitivity of 72.37% and specificity of 65.81%. For adverse pregnancy, the AUC of TyHGB and TyG-BMI alone were 0.666 and 0.692, respectively, while their combination achieved AUC of 0.746, with specificity of 69.34% and sensitivity of 65.35%. Conclusions:TyHGB and TyG-BMI in early pregnancy are risk factors for GDM and adverse pregnancy outcomes. Their combination can enhance predictive efficacy for both conditions.

Objective:To investigate the predictive value of the triglyceride-high-density lipoprotein cholesterol-glucose-body mass index (TyHGB) and triglyceride-glucose-body mass index (TyG-BMI) in early pregnancy for gestational diabetes mellitus (GDM) and pregnancy outcomes.Methods:A retrospective analysis was conducted, a total of 600 pregnant women who underwent prenatal examinations at North China Medical and Health Group Xingtai General Hospital from August 2020 to August 2023 were collected. Participants were divided into GDM group (76 cases) and non-GDM group (524 cases) based on GDM occurrence, and further categorized into adverse pregnancy group (101 cases) and favorable pregnancy group (499 cases) based on outcomes. Multivariate Logistic regression was used to identify risk factors for GDM and adverse pregnancy. The predictive performance of TyHGB and TyG-BMI was evaluated using receiver operating characteristic (ROC) curves.Results:After adjusting for confounders, TyHGB and TyG-BMI were independent risk factors for GDM ( OR = 1.569, 95% CI 1.259 -1.955; OR = 1.109, 95% CI 1.029 - 1.038) and adverse pregnancy ( OR = 1.438, 95% CI 1.193 - 1.734; OR = 1.021, 95% CI 1.014 - 1.029). The area under the curve (AUC) for TyHGB and TyG-BMI alone in predicting GDM was 0.677 and 0.731, respectively. Combined prediction of GDM yielded an AUC of 0.793, with sensitivity of 72.37% and specificity of 65.81%. For adverse pregnancy, the AUC of TyHGB and TyG-BMI alone were 0.666 and 0.692, respectively, while their combination achieved AUC of 0.746, with specificity of 69.34% and sensitivity of 65.35%. Conclusions:TyHGB and TyG-BMI in early pregnancy are risk factors for GDM and adverse pregnancy outcomes. Their combination can enhance predictive efficacy for both conditions.

10.3969/j.issn.1008-9691.2013.03.015